We investigate computational and mechanism design aspects of optimal scarce resource al-location, where the primary rationing mechanism is through waiting times. Specifically we consider the problem of allocating medical treatments to a population of patients. Each patient has demand for exactly one unit of treatment, and can choose to be treated in one of k hospitals, H1,...,Hk. Different hospitals have different costs, which are fully paid by a third party —the “payer” — and do not accrue to the patients. The payer has a fixed budget B and can only cover a limited number of treatments in the more expensive hospitals. Access to over-demanded hospitals is rationed through waiting times: each hospital Hi will have waiting time wi. In equi-li...
We take an in-depth look at the scheduling of patients for a diagnostic resource. Our aim is to sche...
In this paper we study systems that allocate different types of scarce resources to heterogeneous al...
We present models for allocating limited healthcare resources efficiently among target populations i...
We investigate computational and mechanism design aspects of optimal scarce resource allocation, whe...
We derive optimal rules for paying hospitals in a public health care system in which providers can ...
We derive optimal rules for paying hospitals in a public health care system in which providers can c...
We derive optimal rules for paying hospitals for non-emergency care when providers choose quality an...
We derive optimal rules for paying hospitals in a public health care system in which providers can c...
Cost sharing represent a well-established tool for the control of health care demand in many Oecd co...
Cost sharing represents a well-established tool for the control of health care demand in many Oecd c...
We develop a dynamic model of hospital competition where (i) waiting times increase if demand exceed...
This paper develops a model of the supply of elective treatments within a duopolistic market structu...
This paper develops a model of the supply of elective treatments within a duopolistic market structu...
We develop a dynamic model of hospital competition where (i) waiting times increase if demand exceed...
Under embargo until: 2021-06-19We develop a dynamic model of hospital competition where (i) waiting ...
We take an in-depth look at the scheduling of patients for a diagnostic resource. Our aim is to sche...
In this paper we study systems that allocate different types of scarce resources to heterogeneous al...
We present models for allocating limited healthcare resources efficiently among target populations i...
We investigate computational and mechanism design aspects of optimal scarce resource allocation, whe...
We derive optimal rules for paying hospitals in a public health care system in which providers can ...
We derive optimal rules for paying hospitals in a public health care system in which providers can c...
We derive optimal rules for paying hospitals for non-emergency care when providers choose quality an...
We derive optimal rules for paying hospitals in a public health care system in which providers can c...
Cost sharing represent a well-established tool for the control of health care demand in many Oecd co...
Cost sharing represents a well-established tool for the control of health care demand in many Oecd c...
We develop a dynamic model of hospital competition where (i) waiting times increase if demand exceed...
This paper develops a model of the supply of elective treatments within a duopolistic market structu...
This paper develops a model of the supply of elective treatments within a duopolistic market structu...
We develop a dynamic model of hospital competition where (i) waiting times increase if demand exceed...
Under embargo until: 2021-06-19We develop a dynamic model of hospital competition where (i) waiting ...
We take an in-depth look at the scheduling of patients for a diagnostic resource. Our aim is to sche...
In this paper we study systems that allocate different types of scarce resources to heterogeneous al...
We present models for allocating limited healthcare resources efficiently among target populations i...